{"id":"W4298445647","doi":"10.1142/5760","title":"Computational Intelligence in Software Quality Assurance","year":2005,"lang":"en","type":"book","venue":"Series in machine perception and artificial intelligence","topic":"Software Reliability and Analysis Research","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Quality assurance; Software quality; Software quality assurance; Quality (philosophy); Software; Software engineering; Engineering; Software development; Operations management; Operating system; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001678874,0.0004325285,0.0006646056,0.0006507724,0.0001797596,0.0003443643,0.001080386,0.0003566866,0.0005146151],"category_scores_gemma":[0.0007094202,0.0004462627,0.0001635665,0.0007375986,0.0005530011,0.0007910121,0.0004858849,0.001123092,0.0002317074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004043673,"about_ca_system_score_gemma":0.0004173583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003101127,"about_ca_topic_score_gemma":0.00431025,"domain_scores_codex":[0.9958845,0.0003812946,0.001336066,0.001130517,0.0007724268,0.0004952328],"domain_scores_gemma":[0.9979895,0.000801545,0.0002211247,0.0006160013,0.0002225419,0.0001492379],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005561682,0.0001834556,0.001537159,0.0001896526,0.00001355307,0.00002348295,0.00184669,0.04404179,0.00001257406,0.09997348,0.0001388782,0.8519837],"study_design_scores_gemma":[0.00005653917,0.0001516965,0.007939368,0.0004763514,0.000008495284,0.00003502098,0.0004143345,0.3310557,0.00003733255,0.6515616,0.007199968,0.001063633],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0007982153,0.000729012,0.9906786,0.001927092,0.0002462951,0.0004154691,0.00004506688,0.0001762322,0.004984029],"genre_scores_gemma":[0.406647,0.01303723,0.4538314,0.001961092,0.001203815,0.0002779705,0.0007210711,0.0001749038,0.1221455],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.85092,"threshold_uncertainty_score":0.9997989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04175911062487599,"score_gpt":0.3502769279419389,"score_spread":0.308517817317063,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}